A New Framework for Ranking Vulnerabilities in the Clouds
This addresses the challenge of vulnerability management for cloud service providers, though it appears incremental as it builds on existing methods like AssetRank.
The paper tackles the problem of qualifying and ranking vulnerabilities by threat degree in cloud services, proposing a novel framework that uses service dependency graphs to generate importance degrees and vulnerability rankings, with comprehensive experiments proving its effectiveness.
Qualifying and ranking threat degrees of vulnerabilities in cloud service are known to be full of challenges. Although there have been several efforts aiming to address this problem, most of them are too simple or cannot be applied into cloud infrastructure. This paper aims to propose a novel framework to qualify and rank the vulnerabilities based on their threat degrees in cloud service. Through inputting or constructing service dependency graph, our framework is able to generate the importance degree of each service and the ranking list of all the vulnerabilities in cloud service. Moreover, our framework can be adopted not only into various cloud infrastructures, but also different categories of algorithms according to concrete requirements. To evaluate our framework, we adopt AssetRank algorithm into the framework, and present the whole design of our work. Comprehensive experiments prove the effectiveness of our framework on qualifying and ranking vulnerabilities in cloud service.